RAGApp: An AI Starter Kit to Build Your Own Agentic RAG in the Enterprise as Simple as Using GPTs
Practical Solutions and Value
Deploying Retrieval-Augmented Generation (RAG) applications in enterprise environments can be complex. RAGApp simplifies this process by leveraging Docker and providing a user-friendly configuration interface, giving enterprises the flexibility to choose their preferred AI models.
Existing solutions often hosted on third-party cloud services raise concerns about data privacy and compliance. RAGApp offers a straightforward solution for enterprises, allowing them to deploy Agentic RAG applications in their cloud environments with more control over their data and infrastructure.
RAGApp simplifies the deployment process, making it as easy as running a single command. It can be configured via an Admin UI accessible through a web browser, allowing enterprises to use hosted AI models from providers like OpenAI or Gemini, as well as local models via Ollama.
The application provides three main endpoints: an Admin UI, a Chat UI, and an API, offering flexibility and ease of use. For security, RAGApp does not include built-in authentication, requiring users to secure the application paths through their cloud environment’s features.
RAGApp supports deployment with Docker Compose, enabling the use of different AI models and facilitating integration with local instances of Ollama.
In conclusion, RAGApp offers a practical and effective solution for enterprises looking to deploy RAG applications in their cloud infrastructure.
If you want to evolve your company with AI, stay competitive, and use RAGApp to redefine your way of work, connect with us at hello@itinai.com.
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